Dashboard › Code › Session s16c7462d868
s16c7462d86813302[
{
"content": "Self-review: launch subagent for objective code review of PR #1320",
"status": "completed",
"priority": "high"
},
{
"content": "Fix: remove dead `nested` prop from 3 TelemetryTabs call sites",
"status": "completed",
"priority": "medium"
},
{
"content": "Fix: guard span.trace_id in SpanDetails (optional per types)",
"status": "cancelled",
"priority": "medium"
},
{
"content": "Fix: improve regression test to actually demonstrate the bug",
"status": "in_progress",
"priority": "high"
},
{
"content": "Fix: update PR description (sidebar was prior commit, not this one)",
"status": "pending",
"priority": "low"
},
{
"content": "Push fixes and merge",
"status": "pending",
"priority": "high"
}
]
Please address this message and continue with your tasks. </system-reminder>
The user wants me to extract the /telemetry base path into a module-level constant to avoid repeating it throughout the codebase. I need to figure out where to define this constant—either in an existing constants file or by creating one in the telemetry module.
Good idea. Let me check for an existing constants location to add a base-path constant.
v24.16.0
RUN v4.1.8 /home/byk/Code/opencode-lore
Test Files 91 passed (91)
Tests 2495 passed | 6 skipped (2501)
Start at 21:06:09
Duration 101.56s (transform 11.91s, setup 13.17s, import 85.72s, tests 143.15s, environment 49ms)
All the tests are passing across the full suite. Now I'm adding a focused test for the new entity-rebuild module to verify the extraction, creation, and merge flow along with dry-run behavior, using a mock LLMClient to simulate the responses.
I need to figure out how to seed distillations for the test — checking whether there's a public store function or if I should insert rows directly via SQL, since the private storeDistillation method isn't accessible from tests.
All 2495 tests pass under Node 24. Let me add a focused test for the new entity-rebuild module (per the plan). First let me see how distillations are seeded in tests.
=== public distillation store/insert used in tests ===
442: `INSERT INTO distillations (id, project_id, session_id, narrative, facts, observations, source_ids, generation, token_count, archived, created_at)
445: .run(
472: `INSERT INTO distillations (id, project_id, session_id, narrative, facts, observations, source_ids, generation, token_count, archived, created_at)
475: .run(
508: db().query("DELETE FROM distillations WHERE project_id = ?").run(pid);
579: db().query("DELETE FROM distillations WHERE project_id = ?").run(pid);
632: db().query("DELETE FROM distillations WHERE project_id = ?").run(pid);
832: db().query("DELETE FROM distillations WHERE project_id = ?").run(pid);
965: db().query("DELETE FROM distillations WHERE project_id = ?").run(pid);
1317: `INSERT INTO distillations (id, project_id, session_id, narrative, facts, observations, source_ids, generation, token_count, archived, created_at)
=== exported store fns in distillation.ts ...
Let me look at the distillation test's direct-insert helper to mirror it:
(no output) <shell_metadata> shell tool terminated command after exceeding timeout 60000 ms. If this command is expected to take longer and is not waiting for interactive input, retry with a larger timeout value in milliseconds. </shell_metadata>
<task id="ses_14ca9334bffeak5Ybl8oIkZ61F" state="completed">
<task_result>
I now have a complete picture of the cross-project knowledge scoping. Here is my structured analysis.
---
# Cross-Project Knowledge Leakage: Investigation Report
## Executive Summary
Lore's own knowledge entries leak into the **spotlight** project because they are stored with `cross_project = 1`, and `forSession()` loads cross-project entries with a **project-agnostic query** that ignores the originating `project_id`. The leaked topics ("gateway workers", "providerID", "Bun→Node migration", ".lore.md internals") are all **`preference`-category** entries — and the **preference fast path** injects ALL cross-project preferences into every project with *zero* relevance filtering.
The **prime root cause** is the LLM curator defaulting `crossProject` to `true` (`curator.ts:284` + prompt `prompt.ts:378`), which marks lore's preferences `cross_project = 1` with `project_id = <lore>`. ...
<task id="ses_14ca910d9ffefcUMeuD3jGt1CA" state="completed">
<task_result>
I now have a complete, verified picture. Here is my structured report.
---
# Investigation: Why `lore-curator`, `lore-distill`, `lore-query-expand` appear in the host OpenCode agent/skill picker
## TL;DR (root cause)
The lore OpenCode plugin registers these three workers as OpenCode agents in its `config` hook using `{ hidden: true, description: ... }` **but never sets `mode: "subagent"`**. Per OpenCode's own documentation:
- If no `mode` is specified, an agent **defaults to `mode: "all"`** (visible as *both* a primary agent in the Tab/cycle picker *and* a subagent in the `@`-mention / Task / skill list).
- `hidden: true` **only applies to `mode: "subagent"` agents**.
So the `hidden: true` flag is silently ignored, and all three internal workers leak into the host project's agent/skill picker. This is a **bug**, not intended behavior — the code comment literally says "register **hidden** worker ...
<task id="ses_14ca8de40ffepGNnYMr7FQFA6J" state="completed"> <task_result> I now have a complete picture. Here is my structured analysis. --- # Investigation: How lore's own knowledge entries can be written into another project's (`spotlight`) `.lore.md` / `AGENTS.md` ## Executive summary The export functions **do correctly filter by `project_id` and exclude `cross_project` entries** — and the **same `projectPath` variable is always used for both the entry query and the file-write directory**. Therefore the export code cannot, by itself, write project A's entries into project B's directory. The only way `spotlight`'s files get lore's entries is if **`ensureProject(<spotlight path>)` resolves to lore's `project_id`**. That happens when the two projects get **merged / path-aliased** in the DB, or when a session is **misattributed** to the wrong path. ...
I'm identifying two separate pathways through which knowledge from one project can leak into another's context. The first involves the session pool loading all cross-project entries without filtering by origin, then injecting those preferences directly into the system prompt during the preference fast path.
But the user's observation about seeing an AGENTS.md file with a large "Long-term Knowledge" section suggests a second mechanism at play. I'm realizing that what I'm seeing in my own system prompt—that inline "## Long-term Knowledge" block with actual entries—isn't the AGENTS.md file itself, but rather the injected preferences from the gateway's forSession call being formatted and inserted. The actual AGENTS.md file should only contain a pointer to .lore.md, but the system prompt I received has the full knowledge section expanded inline, which means the injection is happening at the prompt-building stage rather than through file content. ...
Both investigations are complete and consistent. Let me read the critical files myself to ground the plan before finalizing.
<path>/home/byk/Code/opencode-lore/packages/core/test/distillation.test.ts</path>
<type>file</type>
<content>
435: observations: string;
436: archived?: 0 | 1;
437: createdAt?: number;
438: }): string {
439: const id = crypto.randomUUID();
440: db()
441: .query(
442: `INSERT INTO distillations (id, project_id, session_id, narrative, facts, observations, source_ids, generation, token_count, archived, created_at)
443: VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`,
444: )
445: .run(
446: id,
447: input.projectId,
448: input.sessionID,
449: "",
450: "[]",
451: input.observations,
452: "[]",
453: 0,
454: Math.ceil(input.observations.length / 3),
455: input.archived ?? 0,
456: input.createdAt ?? Date.now(),
457: );
458: return id;
459: }
460:
461: function insertMeta(input: {
462: projectId: string;
463: sessionID: string;
464: observations: string;
465: generation: number;
466: ...
I'm setting up the entity-rebuild test by creating a distillation with observations that reference a person, mocking the LLM client to return canned entity and relation data, then running the rebuild function in both dry-run and apply modes to verify it generates candidates without persisting in dry-run but actually creates the person entity when applied.
Now let me write a focused test for the entity-rebuild module:
<task id="ses_14ca3bf4affe6U5wEvAyNWI0qY" state="completed">
<task_result>
Here is the complete, thorough report on all `shell-quote` usage in the Craft codebase.
---
## 1. Every File That Imports from `shell-quote` (with context)
### File A: `/home/byk/.local/share/opencode/worktree/55fa901aca64a01fa4b5c2abce1c85c1c27475e7/stellar-falcon/src/commands/prepare.ts`
**Import (line 4):**
```typescript
1: import { existsSync, promises as fsPromises } from 'fs';
2: import { join, relative } from 'path';
3:
4: import * as shellQuote from 'shell-quote'; // <-- IMPORT
5: import type { SimpleGit, StatusResult } from 'simple-git';
6: import type { Arguments, Argv, CommandBuilder } from 'yargs';
7: import { createDryRunIsolation, safeFs } from '../utils/dryRun';
8:
9: import {
10: CONFIG_FILE_NAME,
```
**Usage (line 444):**
```typescript
439: // avoid breaking the pre-release command as most scripts expect a non-empty
440: // version string. ...
Now I have a complete picture. Let me design the implementation plan.